BLASTING, Volume. 39, Issue 1, 16(2022)

Fragmentation Prediction of Rock Blasting by LOO-XGboost Model

[in Chinese]1,2, [in Chinese]3, [in Chinese]1,2, [in Chinese]1,2, [in Chinese]1,2, [in Chinese], [in Chinese], and [in Chinese]
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    References(3)

    [1] [1] GHEIBIE S,AGHABABAEI H,HOSEINIE S H,et al.Modified Kuz-Ram fragmentation model and its use at the Sungun Copper Mine\[J\].Int J Rock Mech Min Sci,2009,46(6):967-973.

    [10] [10] CHEN Tian-qi,CARLOS Guestrin.XGBoost:a scalable tree boosting system.\[J\].IEICE Transactions on Fundamentals of Electronics,Communications and Computer Sciences,2016,abs/1603.02754.

    [16] [16] HUDAVERDI T,KULATILAKE P H S W,KUZU C.Prediction of blast fragmentation using multivariate analysis procedures\[J\].Int J Numer Anal Methods Geomech,2011,35(12):1318-1333.

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    [2] CUI Xue-jiao, LI Qi-yue, TAO Ming, HONG Zhi-xian, ZHAO Ming-sheng, LI Jie, ZHOU Jian-min, YU Hong-bing. Research on Explosive-Rock Matching System based on XGBoost[J]. BLASTING, 2023, 40(3): 31

    [3] XIA Shu-yuan, DONG Yong-feng, WANG Li-qin. Study on Blasting Lumpiness by XGBoost Model based on Feature Engineering[J]. BLASTING, 2023, 40(2): 97

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    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Fragmentation Prediction of Rock Blasting by LOO-XGboost Model[J]. BLASTING, 2022, 39(1): 16

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    Paper Information

    Received: Sep. 1, 2021

    Accepted: --

    Published Online: Jan. 24, 2024

    The Author Email:

    DOI:10.3963/j.issn.1001-487x.2022.01.003

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